{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T23:55:19Z","timestamp":1785628519856,"version":"3.56.0"},"reference-count":48,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T00:00:00Z","timestamp":1663804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institutes of Health","award":["RO1 Al138554"],"award-info":[{"award-number":["RO1 Al138554"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TropicalMed"],"abstract":"<jats:p>In this paper, we provide an overview of how spatial video data collection enriched with contextual mapping can be used as a universal tool to investigate sub-neighborhood scale health risks, including cholera, in challenging environments. To illustrate the method\u2019s flexibility, we consider the life cycle of the Mujoga relief camp set up after the Nyiragongo volcanic eruption in the Democratic Republic of Congo on 22 May 2021. More specifically we investigate how these methods have captured the deteriorating conditions in a camp which is also experiencing lab-confirmed cholera cases. Spatial video data are collected every month from June 2021 to March 2022. These coordinate-tagged images are used to make monthly camp maps, which are then returned to the field teams for added contextual insights. At the same time, a zoom-based geonarrative is used to discuss the camp\u2019s changes, including the cessation of free water supplies and the visible deterioration of toilet facilities. The paper concludes by highlighting the next data science advances to be made with SV mapping, including machine learning to automatically identify and map risks, and how these are already being applied in Mujoga.<\/jats:p>","DOI":"10.3390\/tropicalmed7100257","type":"journal-article","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T04:07:07Z","timestamp":1663906027000},"page":"257","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["The Use of Spatial Video to Map Dynamic and Challenging Environments: A Case Study of Cholera Risk in the Mujoga Relief Camp, D.R.C."],"prefix":"10.3390","volume":"7","author":[{"given":"Andrew J.","family":"Curtis","sequence":"first","affiliation":[{"name":"Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9827-9756","authenticated-orcid":false,"given":"Felicien","family":"Maisha","sequence":"additional","affiliation":[{"name":"Emerging Pathogens Institute, University of Florida, Gainesville, FL 32601, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9564-7728","authenticated-orcid":false,"given":"Jayakrishnan","family":"Ajayakumar","sequence":"additional","affiliation":[{"name":"Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandra","family":"Bempah","sequence":"additional","affiliation":[{"name":"Department of Geography, Kent State University, Kent, OH 44242, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Afsar","family":"Ali","sequence":"additional","affiliation":[{"name":"Emerging Pathogens Institute, University of Florida, Gainesville, FL 32601, USA"},{"name":"Department of Environmental & Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32601, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9347-1984","authenticated-orcid":false,"suffix":"Jr.","given":"J. Glenn","family":"Morris","sequence":"additional","affiliation":[{"name":"Emerging Pathogens Institute, University of Florida, Gainesville, FL 32601, USA"},{"name":"College of Medicine, University of Florida, Gainesville, FL 32601, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"20200599","DOI":"10.1098\/rsif.2020.0599","article-title":"Spread of COVID-19 in urban neighbourhoods and slums of the developing world","volume":"18","author":"Sahasranaman","year":"2021","journal-title":"J. R. Soc. Interface"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Abdi, S., Wadugodapitiya, A., Bedaf, S., George, C.E., Norman, G., Hawley, M., and de Witte, L. (2018). Identification of priority health conditions for field-based screening in urban slums in Bangalore, India. 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